{"id":"https://openalex.org/W2023946255","doi":"https://doi.org/10.1109/igarss.2014.6946923","title":"Wavelets on graphs for very high resolution multispectral image texture segmentation","display_name":"Wavelets on graphs for very high resolution multispectral image texture segmentation","publication_year":2014,"publication_date":"2014-07-01","ids":{"openalex":"https://openalex.org/W2023946255","doi":"https://doi.org/10.1109/igarss.2014.6946923","mag":"2023946255"},"language":"en","primary_location":{"id":"doi:10.1109/igarss.2014.6946923","is_oa":false,"landing_page_url":"https://doi.org/10.1109/igarss.2014.6946923","pdf_url":null,"source":null,"license":null,"license_id":null,"version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"2014 IEEE Geoscience and Remote Sensing Symposium","raw_type":"proceedings-article"},"type":"conference-paper","indexed_in":["crossref"],"open_access":{"is_oa":false,"oa_status":"closed","oa_url":null,"any_repository_has_fulltext":false},"authorships":[{"author_position":"first","author":{"id":"https://openalex.org/A5113582273","display_name":"Minh-Tan Pham","orcid":null},"institutions":[{"id":"https://openalex.org/I161929037","display_name":"Universit\u00e9 de Bretagne Occidentale","ror":"https://ror.org/01b8h3982","country_code":"FR","type":"education","lineage":["https://openalex.org/I161929037"]},{"id":"https://openalex.org/I4210123702","display_name":"Laboratoire des Sciences et Techniques de l\u2019Information de la Communication et de la Connaissance","ror":"https://ror.org/0266kfd37","country_code":"FR","type":"facility","lineage":["https://openalex.org/I1294671590","https://openalex.org/I1294671590","https://openalex.org/I180375564","https://openalex.org/I201181511","https://openalex.org/I205703379","https://openalex.org/I2802204017","https://openalex.org/I4210123702","https://openalex.org/I4210127572","https://openalex.org/I4210145102","https://openalex.org/I4210148559","https://openalex.org/I4210159245","https://openalex.org/I4405260085"]},{"id":"https://openalex.org/I4210139374","display_name":"Satimo (France)","ror":"https://ror.org/03ex1m609","country_code":"FR","type":"company","lineage":["https://openalex.org/I4210139374"]}],"countries":["FR"],"is_corresponding":false,"raw_author_name":"Minh-Tan Pham","raw_affiliation_strings":["TELECOM Bretagne, Lab-STICC/CID, Brest Cedex 3, France","Lab-STICC_TB_CID_TOMS (France)","ITI - D\u00e9partement Image et Traitement Information (Technop\u00f4le Brest-Iroise CS 83818 29238 BREST CEDEX 3 - France)"],"raw_orcid":null,"affiliations":[{"raw_affiliation_string":"TELECOM Bretagne, Lab-STICC/CID, Brest Cedex 3, France","institution_ids":["https://openalex.org/I161929037","https://openalex.org/I4210123702"]},{"raw_affiliation_string":"Lab-STICC_TB_CID_TOMS (France)","institution_ids":["https://openalex.org/I161929037","https://openalex.org/I4210123702"]},{"raw_affiliation_string":"ITI - D\u00e9partement Image et Traitement Information (Technop\u00f4le Brest-Iroise CS 83818 29238 BREST CEDEX 3 - France)","institution_ids":["https://openalex.org/I4210139374"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5107329708","display_name":"Gregoire Mercier","orcid":null},"institutions":[{"id":"https://openalex.org/I161929037","display_name":"Universit\u00e9 de Bretagne Occidentale","ror":"https://ror.org/01b8h3982","country_code":"FR","type":"education","lineage":["https://openalex.org/I161929037"]},{"id":"https://openalex.org/I4210123702","display_name":"Laboratoire des Sciences et Techniques de l\u2019Information de la Communication et de la Connaissance","ror":"https://ror.org/0266kfd37","country_code":"FR","type":"facility","lineage":["https://openalex.org/I1294671590","https://openalex.org/I1294671590","https://openalex.org/I180375564","https://openalex.org/I201181511","https://openalex.org/I205703379","https://openalex.org/I2802204017","https://openalex.org/I4210123702","https://openalex.org/I4210127572","https://openalex.org/I4210145102","https://openalex.org/I4210148559","https://openalex.org/I4210159245","https://openalex.org/I4405260085"]},{"id":"https://openalex.org/I4210139374","display_name":"Satimo (France)","ror":"https://ror.org/03ex1m609","country_code":"FR","type":"company","lineage":["https://openalex.org/I4210139374"]}],"countries":["FR"],"is_corresponding":false,"raw_author_name":"Gregoire Mercier","raw_affiliation_strings":["TELECOM Bretagne, Lab-STICC/CID, Brest Cedex 3, France","ITI - D\u00e9partement Image et Traitement Information (Technop\u00f4le Brest-Iroise CS 83818 29238 BREST CEDEX 3 - France)","Lab-STICC_TB_CID_TOMS (France)"],"raw_orcid":null,"affiliations":[{"raw_affiliation_string":"TELECOM Bretagne, Lab-STICC/CID, Brest Cedex 3, France","institution_ids":["https://openalex.org/I161929037","https://openalex.org/I4210123702"]},{"raw_affiliation_string":"ITI - D\u00e9partement Image et Traitement Information (Technop\u00f4le Brest-Iroise CS 83818 29238 BREST CEDEX 3 - France)","institution_ids":["https://openalex.org/I4210139374"]},{"raw_affiliation_string":"Lab-STICC_TB_CID_TOMS (France)","institution_ids":["https://openalex.org/I161929037","https://openalex.org/I4210123702"]}]},{"author_position":"last","author":{"id":"https://openalex.org/A5085372497","display_name":"Julien Michel","orcid":"https://orcid.org/0000-0001-7436-0381"},"institutions":[{"id":"https://openalex.org/I2799535048","display_name":"Centre National d'\u00c9tudes Spatiales","ror":"https://ror.org/04h1h0y33","country_code":"FR","type":"government","lineage":["https://openalex.org/I2799535048"]}],"countries":["FR"],"is_corresponding":false,"raw_author_name":"Julien Michel","raw_affiliation_strings":["CNES-DCT/SI/AP - BPI 1219, Toulouse Cedex 09, France","CNES - Centre National d'\u00c9tudes Spatiales [Toulouse] (18 avenue Edouard Belin 31401 Toulouse - France)"],"raw_orcid":null,"affiliations":[{"raw_affiliation_string":"CNES-DCT/SI/AP - BPI 1219, Toulouse Cedex 09, France","institution_ids":["https://openalex.org/I2799535048"]},{"raw_affiliation_string":"CNES - Centre National d'\u00c9tudes Spatiales [Toulouse] (18 avenue Edouard Belin 31401 Toulouse - France)","institution_ids":["https://openalex.org/I2799535048"]}]}],"institutions":[],"countries_distinct_count":1,"institutions_distinct_count":4,"corresponding_author_ids":[],"corresponding_institution_ids":[],"apc_list":null,"apc_paid":null,"fwci":null,"has_fulltext":false,"cited_by_count":12,"citation_normalized_percentile":null,"cited_by_percentile_year":null,"biblio":{"volume":null,"issue":null,"first_page":"2273","last_page":"2276"},"is_retracted":false,"is_paratext":false,"is_xpac":false,"primary_topic":{"id":"https://openalex.org/T10824","display_name":"Image Retrieval and Classification Techniques","score":0.9984999895095825,"subfield":{"id":"https://openalex.org/subfields/1707","display_name":"Computer Vision and Pattern Recognition"},"field":{"id":"https://openalex.org/fields/17","display_name":"Computer Science"},"domain":{"id":"https://openalex.org/domains/3","display_name":"Physical Sciences"}},"topics":[{"id":"https://openalex.org/T10824","display_name":"Image Retrieval and Classification Techniques","score":0.9984999895095825,"subfield":{"id":"https://openalex.org/subfields/1707","display_name":"Computer Vision and Pattern Recognition"},"field":{"id":"https://openalex.org/fields/17","display_name":"Computer Science"},"domain":{"id":"https://openalex.org/domains/3","display_name":"Physical Sciences"}},{"id":"https://openalex.org/T10689","display_name":"Remote-Sensing Image Classification","score":0.9976999759674072,"subfield":{"id":"https://openalex.org/subfields/2214","display_name":"Media Technology"},"field":{"id":"https://openalex.org/fields/22","display_name":"Engineering"},"domain":{"id":"https://openalex.org/domains/3","display_name":"Physical Sciences"}},{"id":"https://openalex.org/T10627","display_name":"Advanced Image and Video Retrieval Techniques","score":0.9973000288009644,"subfield":{"id":"https://openalex.org/subfields/1707","display_name":"Computer Vision and Pattern Recognition"},"field":{"id":"https://openalex.org/fields/17","display_name":"Computer Science"},"domain":{"id":"https://openalex.org/domains/3","display_name":"Physical Sciences"}}],"keywords":[{"id":"https://openalex.org/keywords/artificial-intelligence","display_name":"Artificial intelligence","score":0.7780637741088867},{"id":"https://openalex.org/keywords/image-segmentation","display_name":"Image segmentation","score":0.6722402572631836},{"id":"https://openalex.org/keywords/multispectral-image","display_name":"Multispectral image","score":0.6689189076423645},{"id":"https://openalex.org/keywords/computer-science","display_name":"Computer science","score":0.6296958923339844},{"id":"https://openalex.org/keywords/image-texture","display_name":"Image texture","score":0.6084591150283813},{"id":"https://openalex.org/keywords/pattern-recognition","display_name":"Pattern recognition (psychology)","score":0.6077988743782043},{"id":"https://openalex.org/keywords/segmentation-based-object-categorization","display_name":"Segmentation-based object categorization","score":0.5817964673042297},{"id":"https://openalex.org/keywords/pixel","display_name":"Pixel","score":0.5641043186187744},{"id":"https://openalex.org/keywords/computer-vision","display_name":"Computer vision","score":0.5639418363571167},{"id":"https://openalex.org/keywords/scale-space-segmentation","display_name":"Scale-space segmentation","score":0.5605716705322266},{"id":"https://openalex.org/keywords/segmentation","display_name":"Segmentation","score":0.5522925853729248},{"id":"https://openalex.org/keywords/image-resolution","display_name":"Image resolution","score":0.4913593828678131},{"id":"https://openalex.org/keywords/wavelet","display_name":"Wavelet","score":0.4908755421638489},{"id":"https://openalex.org/keywords/wavelet-transform","display_name":"Wavelet transform","score":0.4795112907886505},{"id":"https://openalex.org/keywords/minimum-spanning-tree-based-segmentation","display_name":"Minimum spanning tree-based segmentation","score":0.4636040925979614},{"id":"https://openalex.org/keywords/range-segmentation","display_name":"Range segmentation","score":0.4558012783527374},{"id":"https://openalex.org/keywords/graph","display_name":"Graph","score":0.4418322443962097},{"id":"https://openalex.org/keywords/cut","display_name":"Cut","score":0.43264690041542053},{"id":"https://openalex.org/keywords/theoretical-computer-science","display_name":"Theoretical computer science","score":0.056790441274642944}],"concepts":[{"id":"https://openalex.org/C154945302","wikidata":"https://www.wikidata.org/wiki/Q11660","display_name":"Artificial intelligence","level":1,"score":0.7780637741088867},{"id":"https://openalex.org/C124504099","wikidata":"https://www.wikidata.org/wiki/Q56933","display_name":"Image segmentation","level":3,"score":0.6722402572631836},{"id":"https://openalex.org/C173163844","wikidata":"https://www.wikidata.org/wiki/Q1761440","display_name":"Multispectral image","level":2,"score":0.6689189076423645},{"id":"https://openalex.org/C41008148","wikidata":"https://www.wikidata.org/wiki/Q21198","display_name":"Computer science","level":0,"score":0.6296958923339844},{"id":"https://openalex.org/C63099799","wikidata":"https://www.wikidata.org/wiki/Q17147001","display_name":"Image texture","level":4,"score":0.6084591150283813},{"id":"https://openalex.org/C153180895","wikidata":"https://www.wikidata.org/wiki/Q7148389","display_name":"Pattern recognition (psychology)","level":2,"score":0.6077988743782043},{"id":"https://openalex.org/C25694479","wikidata":"https://www.wikidata.org/wiki/Q7446278","display_name":"Segmentation-based object categorization","level":5,"score":0.5817964673042297},{"id":"https://openalex.org/C160633673","wikidata":"https://www.wikidata.org/wiki/Q355198","display_name":"Pixel","level":2,"score":0.5641043186187744},{"id":"https://openalex.org/C31972630","wikidata":"https://www.wikidata.org/wiki/Q844240","display_name":"Computer vision","level":1,"score":0.5639418363571167},{"id":"https://openalex.org/C65885262","wikidata":"https://www.wikidata.org/wiki/Q7429708","display_name":"Scale-space segmentation","level":4,"score":0.5605716705322266},{"id":"https://openalex.org/C89600930","wikidata":"https://www.wikidata.org/wiki/Q1423946","display_name":"Segmentation","level":2,"score":0.5522925853729248},{"id":"https://openalex.org/C205372480","wikidata":"https://www.wikidata.org/wiki/Q210521","display_name":"Image resolution","level":2,"score":0.4913593828678131},{"id":"https://openalex.org/C47432892","wikidata":"https://www.wikidata.org/wiki/Q831390","display_name":"Wavelet","level":2,"score":0.4908755421638489},{"id":"https://openalex.org/C196216189","wikidata":"https://www.wikidata.org/wiki/Q2867","display_name":"Wavelet transform","level":3,"score":0.4795112907886505},{"id":"https://openalex.org/C42314347","wikidata":"https://www.wikidata.org/wiki/Q6865488","display_name":"Minimum spanning tree-based segmentation","level":5,"score":0.4636040925979614},{"id":"https://openalex.org/C67561299","wikidata":"https://www.wikidata.org/wiki/Q7292710","display_name":"Range segmentation","level":5,"score":0.4558012783527374},{"id":"https://openalex.org/C132525143","wikidata":"https://www.wikidata.org/wiki/Q141488","display_name":"Graph","level":2,"score":0.4418322443962097},{"id":"https://openalex.org/C5134670","wikidata":"https://www.wikidata.org/wiki/Q1626444","display_name":"Cut","level":4,"score":0.43264690041542053},{"id":"https://openalex.org/C80444323","wikidata":"https://www.wikidata.org/wiki/Q2878974","display_name":"Theoretical computer science","level":1,"score":0.056790441274642944}],"mesh":[],"locations_count":2,"locations":[{"id":"doi:10.1109/igarss.2014.6946923","is_oa":false,"landing_page_url":"https://doi.org/10.1109/igarss.2014.6946923","pdf_url":null,"source":null,"license":null,"license_id":null,"version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"2014 IEEE Geoscience and Remote Sensing Symposium","raw_type":"proceedings-article"},{"id":"pmh:oai:HAL:hal-01208296v1","is_oa":false,"landing_page_url":"https://hal.science/hal-01208296","pdf_url":null,"source":{"id":"https://openalex.org/S4306402512","display_name":"HAL (Le Centre pour la Communication Scientifique Directe)","issn_l":null,"issn":null,"is_oa":false,"is_in_doaj":false,"is_core":false,"host_organization":"https://openalex.org/I1294671590","host_organization_name":"Centre National de la Recherche Scientifique","host_organization_lineage":["https://openalex.org/I1294671590"],"host_organization_lineage_names":[],"type":"repository"},"license":null,"license_id":null,"version":"submittedVersion","is_accepted":false,"is_published":false,"raw_source_name":"IGARSS 20104 : IEEE International Geoscience and Remote Sensing Symposium, Jul 2014, Qu\u00e9bec, Canada. pp.2273 - 2276, &#x27E8;10.1109/IGARSS.2014.6946923&#x27E9;","raw_type":"info:eu-repo/semantics/conferenceObject"}],"best_oa_location":null,"sustainable_development_goals":[],"awards":[],"funders":[],"has_content":{"pdf":false,"grobid_xml":false},"content_urls":null,"referenced_works_count":9,"referenced_works":["https://openalex.org/W1578099820","https://openalex.org/W1977556410","https://openalex.org/W2068057575","https://openalex.org/W2101491865","https://openalex.org/W2158787690","https://openalex.org/W2963413618","https://openalex.org/W4246202668","https://openalex.org/W6628949150","https://openalex.org/W6634702315"],"related_works":["https://openalex.org/W3017192027","https://openalex.org/W2183434644","https://openalex.org/W3196005494","https://openalex.org/W4206358120","https://openalex.org/W2204605857","https://openalex.org/W2188292956","https://openalex.org/W2799704911","https://openalex.org/W2475537384","https://openalex.org/W2344590996","https://openalex.org/W2185573334"],"abstract_inverted_index":{"This":[0],"paper":[1],"proposes":[2],"a":[3,20,26,45,66],"texture-based":[4],"segmentation":[5,112],"method":[6,98],"for":[7,37,64,87,101],"very":[8,102],"high":[9,103],"spatial":[10,104],"resolution":[11,105],"imagery.":[12],"Indeed,":[13],"our":[14],"main":[15],"objective":[16],"is":[17,54,75],"to":[18,30],"perform":[19],"sparse":[21],"image":[22,42,59],"representation":[23],"modeled":[24],"by":[25],"graph":[27,36,74],"and":[28,60,83],"then":[29],"exploit":[31],"the":[32,38,58,70,93,96],"wavelet":[33,71],"transform":[34,72],"on":[35,73],"final":[39],"purpose":[40],"of":[41,47,49,95,110],"segmentation.":[43,89],"Here,":[44],"set":[46],"pixels":[48],"interest,":[50],"called":[51],"representative":[52],"pixels,":[53],"first":[55],"extracted":[56],"from":[57],"considered":[61],"as":[62,80,114,116],"vertices":[63],"constructing":[65],"weighted":[67],"graph.":[68],"Once":[69],"generated,":[76],"their":[77],"coefficients":[78],"serve":[79],"textural":[81],"features":[82],"will":[84],"be":[85],"exploited":[86],"unsupervised":[88],"Experimental":[90],"results":[91],"show":[92],"effectiveness":[94],"proposed":[97],"when":[99],"applied":[100],"multi-spectral":[106],"images":[107],"in":[108],"terms":[109],"good":[111],"precision":[113],"well":[115],"low":[117],"complexity":[118],"requirement.":[119]},"counts_by_year":[{"year":2021,"cited_by_count":1},{"year":2019,"cited_by_count":1},{"year":2017,"cited_by_count":2},{"year":2016,"cited_by_count":4},{"year":2015,"cited_by_count":4}],"updated_date":"2026-07-23T08:03:31.855105","created_date":"2025-10-10T00:00:00"}
